Gábor M. Kovács
- Cell Biology top 0.5%
- Plant Pathogens and Fungal Diseases 65
- Plant Science top 1%
- Mycorrhizal Fungi and Plant Interactions 60
- Powdery Mildew Fungal Diseases 16
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- Lichen and fungal ecology 19
- Insect Science top 2%
- Forest Ecology and Biodiversity Studies 11
- Pharmacology top 2%
- Fungal Biology and Applications 19
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- Yeasts and Rust Fungi Studies 16
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- Microbial Community Ecology and Physiology 10
- Co-authors
- Dániel G. KnappKároly MàrialigetiLászló G. NagyAlexandra PintyeLevente KissJanusz BłaszkowskiPeter SchümannCsaba Vágvölgyi
- Journals
- Nature Communications (1 paper)PLoS ONE (4 papers)Applied and Environmental Microbiology (1 paper)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Gábor M. Kovács
132 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 128
- Cell Biology 1.3k
- Plant Science 2.0k
- Ecology, Evolution, Behavior and Systematics 725
- Insect Science 392
- Pharmacology 480
Countries citing papers authored by Gábor M. Kovács
This map shows the geographic impact of Gábor M. Kovács's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gábor M. Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor M. Kovács more than expected).
Fields of papers citing papers by Gábor M. Kovács
This network shows the impact of papers produced by Gábor M. Kovács. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gábor M. Kovács. The network helps show where Gábor M. Kovács may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gábor M. Kovács, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 30 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 3 | |
| 14 | 2019 | 26 | |
| 15 | 2019 | 16 | |
| 16 | 2018 | 76 | |
| 17 | 2014 | 24 | |
| 18 | 2013 | 19 | |
| 19 | 2012 | 49 | |
| 20 | A NEW METHOD FOR THE EVALUATION OF THE RESISTANCE OF MAIZE HYBRIDS TO FUSARIAL EAR ROT - THE TOXIN-MOULD-INDEX (TMI) | 1997 | 1 |
About Gábor M. Kovács
Gábor M. Kovács is a scholar working on Cell Biology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 139 papers that have together received 3.2k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (65 papers), Mycorrhizal Fungi and Plant Interactions (60 papers), Fungal Biology and Applications (19 papers), Lichen and fungal ecology (19 papers), Powdery Mildew Fungal Diseases (16 papers), Yeasts and Rust Fungi Studies (16 papers), Forest Ecology and Biodiversity Studies (11 papers) and Microbial Community Ecology and Physiology (10 papers). The work is most often cited by research in Cell Biology (1.3k citations), Plant Science (2.0k citations) and Ecology, Evolution, Behavior and Systematics (725 citations). Gábor M. Kovács has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Dániel G. Knapp, Károly Màrialigeti, László G. Nagy, Alexandra Pintye, Levente Kiss, Janusz Błaszkowski, Peter Schümann, Csaba Vágvölgyi, Pál Vági and Philipp Franken. Their work appears in journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.